fast-agent

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Overview

[!TIP] Please see : https://fast-agent.ai for latest documentation. There is also an LLMs.txt here

fast-agent enables you to create and interact with sophisticated multimodal Agents and Workflows in minutes. It is the first framework with complete, end-to-end tested MCP Feature support including Sampling and Elicitations.

fast-agent is CLI-first, with an optional prompt_toolkit-powered interactive terminal prompt (TUI-style input, completions, and in-terminal menus); responses can stream live to the terminal via rich without relying on full-screen curses UIs or external GUI overlays.

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The simple declarative syntax lets you concentrate on composing your Prompts and MCP Servers to build effective agents.

Model support is comprehensive with native support for Anthropic, OpenAI and Google providers as well as Azure, Ollama, Deepseek and dozens of others via TensorZero. Structured Outputs, PDF and Vision support is simple to use and well tested. Passthrough and Playback LLMs enable rapid development and test of Python glue-code for your applications.

Recent features include:

• Agent Skills (SKILL.md)
• MCP-UI Support |
• OpenAI Apps SDK (Skybridge)
• Shell Mode
• Advanced MCP Transport Diagnsotics
• MCP Elicitations

<img width="800" alt="MCP Transport Diagnostics" src="https://github.com/user-attachments/assets/e26472de-58d9-4726-8bdd-01eb407414cf" />

fast-agent is the only tool that allows you to inspect Streamable HTTP Transport usage - a critical feature for ensuring reliable, compliant deployments. OAuth is supported with KeyRing storage for secrets. Use the fast-agent auth command to manage.

[!IMPORTANT]

Documentation is included as a submodule. When cloning, use --recurse-submodules to get everything:

git clone --recurse-submodules https://github.com/evalstate/fast-agent.git

Or if you've already cloned:

git submodule update --init --recursive

The documentation source is a...